Sainath Chowdary

About Sainath Chowdary

I am a Senior Data Engineer with over 10 years of experience in designing, developing, and optimizing data pipelines, ETL solutions, and cloud-based architectures. My passion lies in transforming raw data into actionable insights that drive business growth and innovation. Throughout my career, I have worked extensively with big data technologies, cloud platforms, and real-time data processing frameworks. My expertise includes Azure Data Factory, Databricks, Apache Spark, Kafka, Snowflake, AWS Glue, and Ab Initio, enabling me to build scalable, high-performance data solutions. I have successfully led data migration projects from on-premise systems to cloud environments, optimizing performance, reducing costs, and ensuring data security. My hands-on experience in SQL, Python, Scala, and distributed computing allows me to work efficiently with large datasets, real-time event streaming, and machine learning workflows. I enjoy collaborating with cross-functional teams, bridging the gap between data engineering, analytics, and business strategy. Whether it’s designing ETL pipelines, managing cloud infrastructure, or implementing data governance models, I thrive on solving complex challenges and improving efficiency. If you’re looking to connect, discuss data solutions, cloud strategies, or analytics innovations, feel free to reach out! Always excited to exchange ideas and explore new opportunities in the data-driven world.

Experience

1. Senior Data Engineer

   Johnson & Johnson

   Sep 2023 — Present · New Brunswick, NJ, US

   Designed and implemented scalable data pipelines using DBT, Azure Data Factory (ADF), and Databricks for seamless data integration.Developed real-time streaming solutions leveraging Apache Kafka, Spark Streaming, and Azure Event Hub to process high-velocity data.Automated data ingestion, transformation, and quality checks using Matillion and Snowflake to improve data accessibility.Migrated on-premise databases (SQL Server, Teradata, and Oracle) to Azure Data Lake and Snowflake, reducing operational costs by 30%.Created and optimized complex SQL queries, stored procedures, and indexing strategies to enhance query performance.Built data governance models ensuring compliance with GDPR, HIPAA, and internal security policies using Azure Purview.Worked with data scientists and analytics teams to implement machine learning models on Azure Databricks for predictive analytics.Developed interactive dashboards and reports using Power BI and Tableau, improving business decision-making speed.Spearheaded the development of custom ETL frameworks to handle structured, semi-structured, and unstructured data efficiently.

Education

• Jawaharlal Nehru Technological University

  Bachelor of Technology - BTech